🎮 Python for Control Systems

A comprehensive collection of tutorials and examples demonstrating control system analysis and design using Python. Perfect for students, engineers, and hobbyists interested in control systems.

🎯 Documentation

Visit our documentation site for interactive tutorials and examples.

🎯 What You'll Learn

• Control system analysis using Python
• Transfer function manipulation
• System response visualization
• Controller design and tuning
• Real-world control applications

📚 Available Tutorials

Tutorial 0: Python Basics for Control

• Basic Python concepts for control systems
• Symbolic mathematics with SymPy
• Transfer function analysis
• System response visualization
• Step response plotting

📁 Prerequisites

• Python 3.8+
• Basic understanding of control systems theory
• Basic Python programming knowledge

🚀 Getting Started

1. Clone this repository:

git clone https://github.com/Hmustf/python4control.git
cd python4control

2. Create a virtual environment:

python -m venv .venv
source .venv/bin/activate  # On Windows use: .venv\Scripts\activate

3. Install required packages:

pip install -r requirements.txt

📁 Project Structure

.
├── README.md
├── requirements.txt
└── tutorials/
    └── tutorial-0/
        ├── README.md
        ├── basic_examples.py
        ├── symbolic_example.py
        ├── control_examples.py
        └── plots/

🤝 Contributing

We welcome contributions! Here's how you can help:

• Add new tutorials
• Improve existing examples
• Fix bugs or typos
• Enhance documentation
• Add more real-world examples

📖 Documentation

Each tutorial contains:

• Detailed README with theory explanations
• Well-commented Python code
• Example outputs and plots
• Practice exercises

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

🔗 Useful Links

• Python Control Systems Library
• NumPy Documentation
• Matplotlib Documentation